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Bio Inspired Algorithms Engineering by Arana Daniel Nancy (10 results)
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Bio-inspired Algorithms for Engineering
Language: English
Published by Butterworth-Heinemann, Cambridge, 2018
ISBN 10: 0128137886 ISBN 13: 9780128137888
Soft cover. Condition: Good. Soft Cover, 8vo., 136 pp. Ex-Lib, with usual faults, otherwise a clean tight copy.
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Bio-inspired Algorithms for Engineering
Language: English
Published by Butterworth-Heinemann, 2018
ISBN 10: 0128137886 ISBN 13: 9780128137888
Condition: New. pp. 298.
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Bio-inspired Algorithms for Engineering
Language: English
Published by Butterworth-Heinemann, 2018
ISBN 10: 0128137886 ISBN 13: 9780128137888
Paperback. Condition: Brand New. 152 pages. 9.00x6.00x0.50 inches. In Stock.
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Bio-inspired Algorithms for Engineering
Language: English
Published by Butterworth-Heinemann, 2018
ISBN 10: 0128137886 ISBN 13: 9780128137888
Condition: New. pp. 298.
-
Bio-inspired Algorithms for Engineering
Language: English
Published by Elsevier - Health Sciences Division, 2018
ISBN 10: 0128137886 ISBN 13: 9780128137888
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 85.39
£ 12.86 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Bio-inspired Algorithms for Engineering
Language: English
Published by Butterworth-Heinemann, 2018
ISBN 10: 0128137886 ISBN 13: 9780128137888
Condition: New. pp. 298.
-
Bio-inspired Algorithms for Engineering
Language: English
Published by Butterworth-Heinemann, 2018
ISBN 10: 0128137886 ISBN 13: 9780128137888
Taschenbuch. Condition: Neu. Bio-inspired Algorithms for Engineering | Nancy Arana-Daniel (u. a.) | Taschenbuch | Englisch | Butterworth-Heinemann | EAN 9780128137888 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Bio-inspired Algorithms for Engineering
Language: English
Published by Butterworth-Heinemann, 2018
ISBN 10: 0128137886 ISBN 13: 9780128137888
Condition: new. Questo è un articolo print on demand.
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Bio-inspired Algorithms for Engineering
Language: English
Published by Elsevier Science & Technology, Butterworth-Heinemann, 2018
ISBN 10: 0128137886 ISBN 13: 9780128137888
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to solve real-life, complex problems, combining well-known bio-inspired algorithms with new concepts, including both rigorous analyses and unique applications. It covers both theoretical and practical methodologies, allowing readers to learn more about the implementation of bio-inspired algorithms. This book is a useful resource for both academic and industrial engineers working on artificial intelligence, robotics, machine learning, vision, classification, pattern recognition, identification and control. Englisch.
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Bio-inspired Algorithms for Engineering
Language: English
Published by Elsevier Science & Technology, Butterworth-Heinemann, 2018
ISBN 10: 0128137886 ISBN 13: 9780128137888
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to solve real-life, complex problems, combining well-known bio-inspired algorithms with new concepts, including both rigorous analyses and unique applications. It covers both theoretical and practical methodologies, allowing readers to learn more about the implementation of bio-inspired algorithms. This book is a useful resource for both academic and industrial engineers working on artificial intelligence, robotics, machine learning, vision, classification, pattern recognition, identification and control.
